Prompts · TypeScript · v0.1.0
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
#ai#ai-agents#ai-memory
/Catalogue/Prompt/activeloopai/activeloopai-hivemind-hivemind-goals-3
Origin: githubCreate, track and update team goals in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
by activeloopai · updated 7d ago · imported from GitHub
⚠️ CRITICAL: On this runtime (Hermes), you MUST use the hivemind shell CLI for goals. DO NOT use write_file on ~/.deeplake/memory/goal/... paths — those writes go to the local filesystem and never reach the team-shared hivemind_goals table. Other team members will NOT see them.
The hivemind-memory skill describes a generic memory layout — it does NOT apply to goals. For goals, use the CLI below.
hivemind goal add "<text>" # create goal, prints goal_id
hivemind goal list [--mine|--all] # list (default --mine)
hivemind goal done <goal_id> # mark closed
hivemind goal progress <goal_id> <opened|in_progress|closed>
hivemind goal add "<short description>" — capture stdout, that's the goal_id (UUID).When the user parks a tangential task mid-session — "save this for later", "remind me to …", "don't let me forget …", "let's do X later" — store enough context to resume cold later, not just a one-liner. Tag it --agent capture so parked side-tasks are separable from hand-made goals:
hivemind goal add --agent capture "Add rate-limiting to the webhook handler
Start here: add a per-IP token bucket on the handler entry path
Files: src/webhook/handler.ts:120-160, src/webhook/limits.ts
Branch: feat/webhook-hardening
Run: pnpm test webhook
Why: bursty clients hammer the endpoint; defer until retry-backoff lands"
Line 1 is the label (what goal list shows). Fill Start here / Files / Branch / Run / Why from the conversation; Start here: matters most. Pass the whole package as one double-quoted argument so the newlines are preserved.
When the user says "let's work on that task / goal" or "pick up the <X> task":
hivemind goal list --mine — match the user's reference to a goal_id.hivemind goal get <goal_id> — prints the full package (goal list shows only the first line, so always use goal get). Read it as your working context.hivemind goal progress <goal_id> in_progress — mark it started.Start here: using the Files / Branch / Run lines. Continue as if the context was never lost.write_file on any path under ~/.deeplake/memory/goal/.mkdir / cat > to create those files manually via terminal.If the user wants to inspect goals you created, run hivemind goal list --mine (terminal) and present the output.
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Prompts · TypeScript · v0.1.0
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
#ai#ai-agents#ai-memory
Prompts · TypeScript · v0.1.0
Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
#ai#ai-agents#ai-memory
Prompts · TypeScript · v0.1.0
Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.
#ai#ai-agents#ai-memory
Prompts · TypeScript · v0.1.0
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).
#ai#ai-agents#ai-memory